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» Spatiotemporal Relational Random Forests
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PAMI
1998
127views more  PAMI 1998»
13 years 5 months ago
The Random Subspace Method for Constructing Decision Forests
—Much of previous attention on decision trees focuses on the splitting criteria and optimization of tree sizes. The dilemma between overfitting and achieving maximum accuracy is ...
Tin Kam Ho
BMCBI
2008
179views more  BMCBI 2008»
13 years 5 months ago
Building pathway clusters from Random Forests classification using class votes
Background: Recent years have seen the development of various pathway-based methods for the analysis of microarray gene expression data. These approaches have the potential to bri...
Herbert Pang, Hongyu Zhao
BMCBI
2010
130views more  BMCBI 2010»
13 years 5 months ago
The behaviour of random forest permutation-based variable importance measures under predictor correlation
Background: Random forests (RF) have been increasingly used in applications such as genome-wide association and microarray studies where predictor correlation is frequently observ...
Kristin K. Nicodemus, James D. Malley, Carolin Str...
ESANN
2006
13 years 7 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
ACRI
2004
Springer
13 years 11 months ago
Neuropercolation: A Random Cellular Automata Approach to Spatio-temporal Neurodynamics
Abstract. We outline the basic principles of neuropercolation, a generalized percolation model motivated by the dynamical properties of the neuropil, the densely interconnected neu...
Robert Kozma, Marko Puljic, Paul Balister, B&eacut...